Modification model of glued-in rods splice connection using statistical analysis for mengkulang glulam timber

The statistical study of the glued-in rod splice connection for Mengkulang glulam timber is presented in this research. This type of connection is used in many applications, such as bridge construction and wide hall, besides becoming increasingly popular due to its cost-effectiveness and ease of ins...

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Main Authors: Raja Hussin, Tengku Anita, Hassan, Rohana, Anshari, Buan, Md Nor, Azman, Sapuan, S. M.
Format: Article
Published: Multidisciplinary Digital Publishing Institute 2023
Online Access:http://psasir.upm.edu.my/id/eprint/110528/
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author Raja Hussin, Tengku Anita
Hassan, Rohana
Anshari, Buan
Md Nor, Azman
Sapuan, S. M.
author_facet Raja Hussin, Tengku Anita
Hassan, Rohana
Anshari, Buan
Md Nor, Azman
Sapuan, S. M.
author_sort Raja Hussin, Tengku Anita
building UPM Institutional Repository
collection Online Access
description The statistical study of the glued-in rod splice connection for Mengkulang glulam timber is presented in this research. This type of connection is used in many applications, such as bridge construction and wide hall, besides becoming increasingly popular due to its cost-effectiveness and ease of installation. Using statistical analysis to evaluate the performance of glued-in rod splice connections is relatively new. Statistical analysis can assess the connection’s performance by examining the glued-in rod splice connection’s strength, stiffness, and durability. Glued-in rods have several advantages over traditional mechanical connections generally used in beam design, such as higher stiffness, more uniform stress distribution, fewer rod corrosion problems and better appearance. Due to this limitation, the standard design for glued-in rods using glulam is the estimated extrapolation for solid timber guidelines. The main objectives of this research were to develop the pull-out model and validate the effectiveness of the model equation for glued-in rods parallel (GRPS0°) and perpendicular (GRPS90°) to the grain directions using a statistical package for the social sciences (SPSS). The variables examined were the number of rods, diameter, length, spacing, the kind of glue utilised, and the number of adhesive layers. In conclusion, the model development clearly shows that most of the parameters achieved the R2 more than 80% accurate for both parallel (GRPS0°) and perpendicular (GRPS90°) to the grain directions.
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institution Universiti Putra Malaysia
institution_category Local University
last_indexed 2025-11-15T14:06:20Z
publishDate 2023
publisher Multidisciplinary Digital Publishing Institute
recordtype eprints
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spelling upm-1105282024-06-16T03:01:38Z http://psasir.upm.edu.my/id/eprint/110528/ Modification model of glued-in rods splice connection using statistical analysis for mengkulang glulam timber Raja Hussin, Tengku Anita Hassan, Rohana Anshari, Buan Md Nor, Azman Sapuan, S. M. The statistical study of the glued-in rod splice connection for Mengkulang glulam timber is presented in this research. This type of connection is used in many applications, such as bridge construction and wide hall, besides becoming increasingly popular due to its cost-effectiveness and ease of installation. Using statistical analysis to evaluate the performance of glued-in rod splice connections is relatively new. Statistical analysis can assess the connection’s performance by examining the glued-in rod splice connection’s strength, stiffness, and durability. Glued-in rods have several advantages over traditional mechanical connections generally used in beam design, such as higher stiffness, more uniform stress distribution, fewer rod corrosion problems and better appearance. Due to this limitation, the standard design for glued-in rods using glulam is the estimated extrapolation for solid timber guidelines. The main objectives of this research were to develop the pull-out model and validate the effectiveness of the model equation for glued-in rods parallel (GRPS0°) and perpendicular (GRPS90°) to the grain directions using a statistical package for the social sciences (SPSS). The variables examined were the number of rods, diameter, length, spacing, the kind of glue utilised, and the number of adhesive layers. In conclusion, the model development clearly shows that most of the parameters achieved the R2 more than 80% accurate for both parallel (GRPS0°) and perpendicular (GRPS90°) to the grain directions. Multidisciplinary Digital Publishing Institute 2023 Article PeerReviewed Raja Hussin, Tengku Anita and Hassan, Rohana and Anshari, Buan and Md Nor, Azman and Sapuan, S. M. (2023) Modification model of glued-in rods splice connection using statistical analysis for mengkulang glulam timber. Forests, 14 (3). pp. 1-13. ISSN 1999-4907 https://www.mdpi.com/1999-4907/14/3/491 10.3390/f14030491
spellingShingle Raja Hussin, Tengku Anita
Hassan, Rohana
Anshari, Buan
Md Nor, Azman
Sapuan, S. M.
Modification model of glued-in rods splice connection using statistical analysis for mengkulang glulam timber
title Modification model of glued-in rods splice connection using statistical analysis for mengkulang glulam timber
title_full Modification model of glued-in rods splice connection using statistical analysis for mengkulang glulam timber
title_fullStr Modification model of glued-in rods splice connection using statistical analysis for mengkulang glulam timber
title_full_unstemmed Modification model of glued-in rods splice connection using statistical analysis for mengkulang glulam timber
title_short Modification model of glued-in rods splice connection using statistical analysis for mengkulang glulam timber
title_sort modification model of glued-in rods splice connection using statistical analysis for mengkulang glulam timber
url http://psasir.upm.edu.my/id/eprint/110528/
http://psasir.upm.edu.my/id/eprint/110528/
http://psasir.upm.edu.my/id/eprint/110528/